Agent-Based Modeling
Simulation that builds a system from the bottom up, giving each individual its own rules and letting the aggregate emerge.
Why it matters now
These models are the closest thing available to a laboratory for policy. They let a city test an evacuation plan, a ministry test a subsidy, or a basin authority test a water allocation before anyone bears the consequences. Their honest limitation is that they encode assumptions, which is also their honest strength: the assumptions become visible and arguable.
Where this is happening on Earth
- North AmericaJoshua Epstein and Robert Axtell's Sugarscape, Washington DCShowed inequality, migration, and trade emerging from a handful of individual rules.
- AsiaTokyo and Kobe evacuation simulations, JapanPedestrian agent models redesigned station exits and shelter routes ahead of the next earthquake.
- AfricaPastoralist mobility models, Sahel and Horn of AfricaAgent models of herder decisions inform grazing corridors and drought response.
- EuropeMATSim transport simulation, Zurich and BerlinWhole-city travel demand rebuilt agent by agent to test congestion charges and transit changes.
- OceaniaBushfire evacuation modelling, Victoria, AustraliaIndividual household decision models replaced aggregate estimates after the Black Saturday fires.
The idea itself
The encyclopedia entry first, then live searches at journals and magazines that keep returning current work on this specific idea.
Current reporting from around the world
Standing feeds at reputable periodicals. These stay fresh on their own, which is why they are here instead of a list of articles that would be out of date within a season.